Data Engineer Senior - Expert Dataiku - CDI - H/F at Tala

Paris, Île-de-France, France

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Background from a Grande École d’Ingénieur or Doctorate, specialized in Data Science or Artificial Intelligence
At least 5 years of experience in data, data analysis, and/or data science
Significant experience with Dataiku (essential)
Mastery of data management techniques and DataViz
Mastery of Python, R, RShiny, SQL
Mastery of DevOps tools: Git, Docker, Jenkins/Nexus
Good knowledge of Big Data: pySpark, Spark, NoSQL
Knowledge of tools such as AWS SageMaker/Bedrock, Azure ML
Autonomy, organization, sense of sharing
Excellent communication
Business orientation
Plus: Mastery of statistical analysis techniques, predictive modeling, Machine Learning, Deep Learning

Responsibilities

Analyze business needs
Define principles and methods for data collection and processing
Apply data processing and visualization techniques
Present analyses and results to business stakeholders and sponsors
Share technical solutions with team members: code reviews, recommendations, certifications
Participate in meet-ups, coding dogfooding
Communicate: write articles, share experiences
Benchmark solutions and advise clients on technologies to adopt based on their needs
Realize Proofs of Concept (POC)
Participate in internal projects and knowledge sharing within teams
Share knowledge and provide internal training

Skills

Key technologies and capabilities for this role

DataikuData EngineeringData AnalysisData ScienceData ProcessingData VisualizationCode Review

Questions & Answers

Common questions about this position

Is this position remote or on-site?

The position is on-site.

What technical skills are required for this role?

Required skills include significant experience with Dataiku, mastery of data management and DataViz techniques, proficiency in Python, R, RShiny, SQL, and DevOps tools like Git.

What is the salary range for this position?

This information is not specified in the job description.

What education and experience are needed to apply?

Candidates should be from a Grande École d’Ingénieur or Doctorant in Data Science or AI, with at least 5 years of experience in data, data analysis, and/or data science.

What does the company culture emphasize?

Talan emphasizes innovation, positive innovation serving humanity, knowledge sharing, team collaboration through code reviews and internal training, and participation in meet-ups and events.

Tala

Digital wallet and lending platform for underserved

About Tala

Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.

Santa Monica, CaliforniaHeadquarters

2011Year Founded

$341.1MTotal Funding

DEBTCompany Stage

Fintech, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Risks

Increased competition from Stripe in crypto payments could challenge Tala's market position.

Keytom's launch may attract Tala's crypto-interested customer base, reducing market share.

Apple's NFC chip decision could lead to more competition in the digital wallet space.

Differentiation

Tala uses AI to offer personalized financial experiences to underserved individuals.

The company provides instant credit and expansive bill payment options via a single app.

Tala's proprietary data tools enable services for those without traditional banking access.

Upsides

Integration of stablecoin payments could enhance Tala's transaction speed and cost-effectiveness.

Apple's NFC chip opening may allow Tala to offer more seamless payment options.

Equifax's AI advancements highlight potential for Tala to improve its credit scoring systems.

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